The Lead Data Engineer is responsible for building maintaining and continuously improving the central HR data lake that aggregates data from all this role you will ensure the availability of reliable analytics-ready datasets for internal tools AI-driven applications and cross-functional will act as a key partner to analysts IT and business stakeholders enabling trusted insights data-driven decisions and smooth operation of the enterprise HR data ecosystem.
More about the role
- Build and operate a Databricks Lakehouse / Data Lake for enterprise HR data.
- Integrate multiple data sources (e.g. SAP SuccessFactors ServiceNow) to ensure seamless and accurate data flow.
- Implement and maintain analytics-ready data models in dbt and convert exploratory datasets into reusable trusted derived datasets.
- Develop refactor and optimize data pipelines using AI-assisted coding tools (CLI-first) in Databricks for speed quality and maintainability.
- Provide curated datasets for internal tools AI-driven applications and reporting purposes.
- Partner with analysts and business stakeholders to understand data requirements and translate them into robust technical solutions.
- Monitor and improve data quality governance and performance across all pipelines and datasets.
More about you
- Minimum 5 years of experience in data engineering.
- Strong hands-on experience with Databricks SQL and Python.
- Extensive experience with analytics engineering tools such as dbt.
- Skilled in designing modular data systems (Design Thinking approach).
- Experience enforcing data governance and access management practices.
- Curious pragmatic and solution-oriented mindset.
- Careful and disciplined in handling sensitive data.
- Strong awareness of privacy security and compliance requirements.
- Fluent in English
More about what we offer
As one of the worlds leading hearing care providers headquartered in Switzerland we are committed to building an inclusive culture. We create an environment where you can balance a successful career with your commitments and interests outside of work through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development along with exceptional growth opportunities supported by individual development plans.
Magdalena Suszek Talent Acquisition Partner is looking forward to receiving your application via our online job application platform. For this vacancy only direct applications will be considered.
Required Experience:
IC
The Lead Data Engineer is responsible for building maintaining and continuously improving the central HR data lake that aggregates data from all this role you will ensure the availability of reliable analytics-ready datasets for internal tools AI-driven applications and cross-functional will act a...
The Lead Data Engineer is responsible for building maintaining and continuously improving the central HR data lake that aggregates data from all this role you will ensure the availability of reliable analytics-ready datasets for internal tools AI-driven applications and cross-functional will act as a key partner to analysts IT and business stakeholders enabling trusted insights data-driven decisions and smooth operation of the enterprise HR data ecosystem.
More about the role
- Build and operate a Databricks Lakehouse / Data Lake for enterprise HR data.
- Integrate multiple data sources (e.g. SAP SuccessFactors ServiceNow) to ensure seamless and accurate data flow.
- Implement and maintain analytics-ready data models in dbt and convert exploratory datasets into reusable trusted derived datasets.
- Develop refactor and optimize data pipelines using AI-assisted coding tools (CLI-first) in Databricks for speed quality and maintainability.
- Provide curated datasets for internal tools AI-driven applications and reporting purposes.
- Partner with analysts and business stakeholders to understand data requirements and translate them into robust technical solutions.
- Monitor and improve data quality governance and performance across all pipelines and datasets.
More about you
- Minimum 5 years of experience in data engineering.
- Strong hands-on experience with Databricks SQL and Python.
- Extensive experience with analytics engineering tools such as dbt.
- Skilled in designing modular data systems (Design Thinking approach).
- Experience enforcing data governance and access management practices.
- Curious pragmatic and solution-oriented mindset.
- Careful and disciplined in handling sensitive data.
- Strong awareness of privacy security and compliance requirements.
- Fluent in English
More about what we offer
As one of the worlds leading hearing care providers headquartered in Switzerland we are committed to building an inclusive culture. We create an environment where you can balance a successful career with your commitments and interests outside of work through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development along with exceptional growth opportunities supported by individual development plans.
Magdalena Suszek Talent Acquisition Partner is looking forward to receiving your application via our online job application platform. For this vacancy only direct applications will be considered.
Required Experience:
IC
View more
View less